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An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
by Nello Cristianini and John Shawe-Taylor


Overview - This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications.  Read more...

 
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More About An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods by Nello Cristianini; John Shawe-Taylor
 
 
 
Overview
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software make it an ideal starting point for further study.

 
Details
  • ISBN-13: 9780521780193
  • ISBN-10: 0521780195
  • Publisher: Cambridge University Press
  • Publish Date: January 2015
  • Page Count: 204
  • Dimensions: 9.8 x 6.9 x 0.6 inches
  • Shipping Weight: 1.1 pounds


Related Categories

Books > Computers > Intelligence (AI) & Semantics
Books > Mathematics > General

 
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